samsung SM-X210
Geekbench AI Score
190
Single Precision Score
292
Half Precision Score
307
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 20 2025 12:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X210 |
| Model ID | samsung SM-X210 |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
108
20.1 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.7 IPS |
|
|
Image Classification (Q)
|
97% |
193
36.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
280
4.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
213
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
270
0.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
269
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.68 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
89% |
165
13.2 IPS |
|
|
Face Detection (SP)
|
100% |
265
3.15 IPS |
|
|
Face Detection (HP)
|
100% |
497
5.90 IPS |
|
|
Face Detection (Q)
|
97% |
510
6.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
247
1.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
426
3.29 IPS |
|
|
Depth Estimation (Q)
|
62% |
345
3.27 IPS |
|
|
Style Transfer (SP)
|
100% |
486
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
1042
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
1037
1.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
220
8.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
218
8.08 IPS |
|
|
Text Classification (SP)
|
100% |
162
215.8 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.0 IPS |
|
|
Text Classification (Q)
|
91% |
311
417.6 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.78 IPS |
|
|
Machine Translation (Q)
|
57% |
251
6.14 IPS |
